{"id":"CVE-2026-1462","aliases":["DEBIAN-CVE-2026-1462","EUVD-2026-21970","GHSA-4f3f-g24h-fr8m","PYSEC-2026-2547","UBUNTU-CVE-2026-1462"],"status":"published","title":"Safe Mode Bypass in keras-team/keras","description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. 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Advisory","web"]},{"url":"https://access.redhat.com/errata/RHSA-2026:24977","tags":["vendor-advisory","x_refsource_REDHAT","Third Party Advisory","advisory"]},{"url":"https://access.redhat.com/errata/RHSA-2026:37275","tags":["vendor-advisory","x_refsource_REDHAT","advisory"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-1462","tags":["advisory"]},{"url":"https://github.com/keras-team/keras/pull/22035","tags":["web"]},{"url":"https://github.com/advisories/GHSA-4f3f-g24h-fr8m","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/1xxx/CVE-2026-1462.json","tags":["advisory"]},{"url":"https://security-tracker.debian.org/tracker/CVE-2026-1462","tags":["advisory"]},{"url":"https://github.com/keras-team/keras","tags":["package"]},{"url":"https://pypi.org/project/keras","tags":["package"]},{"url":"https://ubuntu.com/security/CVE-2026-1462","tags":["report"]},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-1462","tags":["report"]}],"sources":{"cve":[{"id":"CVE-2026-1462","title":"Safe Mode Bypass in keras-team/keras","description":"A vulnerability in the `TFSMLayer` class of the `keras` 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This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.","status":"published","published":"2026-04-13T14:55:28.649Z","modified":"2026-07-15T01:21:47.957Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"},{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"adp"}],"cwes":["CWE-502","CWE-502"],"updated_at":"2026-11-02T14:20:01.271368Z"}],"euvd":[{"id":"EUVD-2026-21970","description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. 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This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.","status":"published","published":"2026-04-13T15:31:42Z","modified":"2026-04-14T23:17:13Z","cvss":[{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:39:54.128054Z"}],"nvd":[{"id":"CVE-2026-1462","description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.","status":"published","published":"2026-04-13T15:17:18.967Z","modified":"2026-07-15T02:18:14.727Z","cvss":[{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"},{"version":"3.0","score":8.8,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:12:14.37744Z"}],"osv":[{"id":"CVE-2026-1462","title":"Safe Mode Bypass in keras-team/keras","description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.","status":"published","published":"2026-04-13T14:55:28.649Z","modified":"2026-10-28T02:31:01.686629433Z","cvss":[{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:44:57.354194Z"},{"id":"DEBIAN-CVE-2026-1462","description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. 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